medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 21, 2024
1)
Objectives
To
establish
adaptive
immune
cells
specifically
T
helpers
as
mediators
of
meta-inflammation
in
Type
2
Diabetes
Mellitus,
correlate
biochemical
and
immunological
parameters
delineate
the
specific
signaling
proteins
responsible
for
it.
2)
Research
Design
Methods
100
T2DM
patients
with
no
other
clinical
disease,
autoimmunity
or
infection
were
recruited
analyzed
their
parameters.
Bioplexing
flow
cytometry
was
employed
to
analyse
total
cell
protein
secretion
respectively.
Ex-vivo
inhibition
studies
performed
using
targeted
monoclonal
antibodies
small
molecule
STAT
inhibitors.
3)
Results
CD4+
T-cells
found
be
primary
source
multiple
pro-inflammatory
cytokines
antibody
isotypes.
TNF-a
acting
through
STAT-3
shown
pathway
implicating
T-cells,
wherein
inhibitor
revealed
subtle
pathways
differences
between
inhibition.
4)
Conclusions
Our
result
suggests
that
chronic
a
dysregulated
profile
have
severe
implications
on
function.
Additionally,
are
good
therapeutic
targets
better
T2MD
treatment
ameliorating
meta-inflammation.
Journal of Personalized Medicine,
Journal Year:
2024,
Volume and Issue:
14(7), P. 743 - 743
Published: July 11, 2024
Background:
Type
2
diabetes
mellitus
(T2DM)
is
becoming
a
major
global
health
concern,
especially
in
developing
nations.
The
high
prevalence
of
obesity
and
related
cases
are
attributed
to
rapid
economic
progress,
physical
inactivity,
the
consumption
high-calorie
foods,
changing
lifestyles.
Objectives:
We
investigated
roles
pro-inflammatory
chemokines
CCL1,
2,
4,
5
T2DM
with
varying
levels
Asir
region
Saudi
Arabia.
Materials
Methods:
In
total,
170
confirmed
subjects
normal
control
group
were
enrolled.
Demographic
data,
serum
CCL-1,
5,
biochemical
indices
assessed
groups
by
standard
procedures.
Results:
divided
into
four
groups:
A
(normal
body
weight),
B
(overweight),
C
(obese),
D
(highly
obese).
observed
that
male
female
had
similar
mean
concentrations
5.
all
showed
significantly
higher
compared
controls,
regardless
gender.
severe
obesity,
rise
was
most
significant.
There
progressive
4
increasing
BMI.
Serum
CCL5
increased
subject
groups.
increase
more
predominant
normal-weight
people,
overweight
obese
subjects.
Conclusions:
Male
blood
three
BMI
supports
idea
dyslipidemia
contribute
chronic
inflammation
insulin
resistance.
selective
pronounced
BMI,
degrees
rather
surprising.
Further
research
needed
determine
if
underexpression
due
some
unexplained
counterbalancing
processes.
Annals of Medicine,
Journal Year:
2025,
Volume and Issue:
57(1)
Published: Feb. 3, 2025
Background
Type
2
diabetes
mellitus
(DM)
leads
to
chronic
hyperglycemia
and
microvascular
complications,
including
diabetic
nephropathy
(DN).
Nailfold
videocapillaroscopy
(NVC)
is
a
non-invasive
method
for
assessing
the
abnormalities
may
aid
in
early
DN
detection.
This
study
investigates
correlation
between
nailfold
capillary
type
DM.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 8, 2025
Diabetes
mellitus
(DM)
and
osteoporosis
(OP)
co-morbidity
(DMOP)
pose
major
health
challenges
owing
to
their
complex
pathophysiological
interactions.
The
aim
of
this
study
was
identify
validate
key
genes
implicated
in
the
pathogenesis
both
conditions.
By
employing
Mfuzz
time-series
gene
clustering
method
combined
with
transcriptome
sequencing
patient
serum,
we
systematically
delineated
expression
patterns
during
transition
from
a
healthy
state
through
DM
DMOP.
These
findings
were
further
validated
using
external
datasets,
series
functional
enrichment
analyses,
set
immune
cell
infiltration
studies
conducted.
Our
analyses
revealed
distinct
progression
pattern
normal
DMOP,
characterized
by
dynamic
changes.
Notably,
PRKD2
emerged
as
significantly
downregulated
highlighting
its
crucial
role
disease
pathogenesis.
Further
involvement
signaling
pathways,
especially
Wnt
IL-18
which
are
critical
for
bone
glucose
metabolism.
Validation
cellular
animal
models
confirmed
apoptosis
metabolism,
emphasizing
therapeutic
potential.
In
conclusion,
our
establish
pivotal
molecule
offering
fresh
insights
into
mechanisms
affirming
value
target.
Nutrition and Diabetes,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 22, 2025
Metabolic
dysfunction-associated
steatotic
liver
disease
(MASLD)
is
a
common
complication
of
type
2
diabetes
mellitus
(DM).
The
transcription
factor
zinc
fingers
and
homeoboxes
(ZHX2)
has
been
implicated
in
the
pathogenesis
chronic
diseases,
yet
its
precise
role
underlying
mechanism
DM-induced
hepatic
injury
remain
poorly
elucidated.
To
investigate
this,
we
used
high-fat
diet
(HFD)
streptozotocin
(STZ)
administration
to
create
DM
model
mice,
while
high
glucose
(HG)
exposure
was
simulate
vitro.
Through
various
experiments
such
as
luciferase
reporter
assay,
chromatin
immunoprecipitation,
RNA
rescue
experiments,
aimed
uncover
mechanisms
involving
ZHX2.
Our
findings
revealed
that
ZHX2
lower
YTHDF2
higher
livers
mice
HG-induced
Huh7
cells.
overexpression
rescued
injury.
also
reversed
ferroptosis
vivo
Mechanistically,
recognized
m6A-modified
mRNA
promoted
degradation.
In
turn,
inhibited
by
binding
promoter
region.
Knockdown
led
increased
cells
through
activating
YTHDF2-induced
GPX4
SLC7A11
These
highlight
involvement
ZHX2-YTHDF2-ferroptosis
pathway
suggest
targeting
this
may
hold
therapeutic
potential
for
improving
injuries.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 17, 2025
The
current
treatments
for
diabetic
macular
edema
(DME)
include
laser,
steroids
or
vascular
endothelial
growth
factors
inhibitors
(antiVEGF).
Some
DME
are
resistant
to
these
treatments,
which
can
respond
somatostatin
such
as
lanreotide.
These
drugs
appear
influence
the
development
of
retinopathy
(DR)
and
either
through
a
direct
antiVEGF
effect
inhibition
hormone
(GH),
cell
apoptosis
anti-inflammatory
effect.
It
was
conducted
study
effects
lanreotide
in
retinal
pigment
epithelial
cultures
clinical
patients
with
conventional
order
better
understand
usefulness
this
drug.
Lanreotide
showed
antiapoptotic
significantly
improved
visual
acuity.
could
be
applied
non-respondent
other
an
alternative
refractory
patients.
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 31, 2025
Abstract
The
diabetic
tissue
repair
process
is
frequently
hindered
by
persistent
inflammation,
infection
risks,
and
a
compromised
microenvironment,
which
lead
to
delayed
wound
healing
significantly
impact
the
quality
of
life
for
patients.
Electromagnetic
biomaterials
offer
promising
solution
enabling
intelligent
detection
wounds
through
electric
magnetic
effects,
while
simultaneously
improving
pathological
microenvironment
reducing
oxidative
stress,
modulating
immune
responses,
exhibiting
antibacterial
action.
Additionally,
these
materials
inherently
promote
regeneration
regulating
cellular
behavior
facilitating
vascular
neural
repair.
Compared
traditional
biomaterials,
electromagnetic
provide
advantages
such
as
noninvasiveness,
deep
penetration,
responsiveness,
multi‐stimuli
synergy,
demonstrating
significant
potential
overcome
challenges
This
review
comprehensively
examines
superiority
in
repair,
elucidates
underlying
biological
mechanisms,
discusses
specific
design
strategies
applications
tailored
characteristics
wounds,
with
focus
on
skin
bone
defect
By
addressing
current
limitations
pursuing
multi‐faceted
strategies,
hold
improve
clinical
outcomes
enhance
Frontiers in Endocrinology,
Journal Year:
2025,
Volume and Issue:
16
Published: April 24, 2025
Isolated
Impaired
Glucose
Tolerance
(I-IGT)
represents
a
specific
prediabetic
state
that
typically
requires
standardized
oral
glucose
tolerance
test
(OGTT)
for
diagnosis.
This
study
aims
to
predict
status
in
Chinese
Han
men
at
fasting
using
machine
learning
(ML)
models
with
demographic,
anthropometric,
and
laboratory
data.
The
population
consisted
of
1,117
aged
50-87
years.
Baseline
variables
including
age,
plasma
(FPG),
high
blood
pressure
(HBP),
body
mass
index
(BMI),
waist
hip
ratio
(WHR),
total
cholesterol
(TC),
triglyceride
(TG),
high-density
lipoprotein
(HDL-C),
low-density
(LDL-C)
were
collected
from
electronic
medical
records
(EMRs)
model
training
validation.
Support
Vector
Machine
(SVM),
Decision
Tree
(DT),
Random
Forest
(RF),
Logistic
Regression
(LR),
K-Nearest
Neighbors
(KNN),
Naive
Bayes
(NB),
Adaptive
Boosting
(AdaBoost)
Gradient
Machines
(GBM)
tested
performance
comparison.
Model
was
evaluated
metrics
accuracy,
recall,
F1
score,
positive
predictive
value
(PPV),
negative
(NPV),
the
area
under
receiver
operating
characteristic
curve
(AUC).
Shapley
Additive
Explanations
(SHAP)
confusion
matrix
plots
used
interpretation.
RF
demonstrated
best
overall
96.7%
recall
91.4%,
score
95.7%,
PPV
99.1%,
NPV
95.6%.
AUC
values
SVM,
DT,
RF,
LR,
KNN,
NB,
AdaBoost,
GBM
0.97,
0.92,
0.96,
0.88,
respectively.
While
showed
strong
performance,
LR
had
highest
AUC,
indicating
superior
discriminatory
power.
FPG
identified
as
most
important
predictor
I-IGT,
followed
by
HDL,
TC,
HBP,
BMI,
WHR.
Individuals
levels
higher
than
5.1
mmol/L
more
likely
have
I-IGT;
this
cut-off
were:
89.35%
89.79%
85.22%
81.09%
PPV,
94.38%
NPV,
0.95
AUC.
based
on
demographic
clinical
characteristics
offer
cost-effective
method
predicting
I-IGT
over
50,
without
need
an
OGTT.
These
could
complement
existing
early
diagnostic
strategies,
thereby
enhancing
detection
prevention
diabetes.
Additionally,
alone
serve
efficient
screening
tool
identification
settings.